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Calculating Stability Envelope
KK
by
Keicha Kempsey
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Updated Jun 22, 2020
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00:01 - 00:05
Welcome to this short video on how to calculate the
00:05 - 00:08
stability envelope of a single case.
00:08 - 00:12
Research designed graph within a phase of a single case
00:13 - 00:17
research design graph can be cumbersome and confusing their data
00:17 - 00:22
within a phase or stable or variable that stability envelope
00:22 - 00:25
work beauty utilizing in 80 20% ratio.
00:28 - 00:30
For this example, we're going to be taking a look
00:31 - 00:36
at a graph of data taken using partial interval measurement
00:37 - 00:38
in order to find the mean of the data points
00:39 - 00:39
we need to ask.
00:40 - 00:42
The values of all data points together.
00:46 - 00:48
So the first step is adding those data points that
00:48 - 00:53
that appoints are 54 50 61 50 and 60.
00:54 - 00:57
To find the mean, we add together almost out of
00:57 - 01:03
one which equals 275 and then divide that number by
01:03 - 01:07
five. Because you are five data points which will give
01:07 - 01:11
us the mean value of 55 again.
01:11 - 01:14
You're using some of data points divided by the number
01:14 - 01:17
of data points to give you the me, populate the
01:17 - 01:18
stability and book.
01:19 - 01:21
First we need to multiply the mean, which in this
01:22 - 01:24
case is 55 by 20%.
01:25 - 01:27
So 20% of 55.
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He's one of them.
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I mean, so that we can determine which data points
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for within that window otherwise known as the stability envelope.
01:39 - 01:43
We start by identifying the values that 10% greater and
01:43 - 01:44
10% blessed on the meat.
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Right, Because that gives us the tool of 20 per
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such kind of dividing the 20% and 1/2 to we're
01:51 - 01:55
going to go home above and below the mean by
01:55 - 01:57
10%. That gives us the 20% window.
01:58 - 02:02
So since the mean is 11% in this example on,
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we're gonna split that in half.
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So half of 11 is 5.5.
02:08 - 02:11
That means that we're going to be adding 5.5 to
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the mean and subtracting 5.5 from the mean to give
02:15 - 02:20
us that window so that in this example, the top,
02:21 - 02:23
the bottom of the envelope is going to be 49.5
02:24 - 02:26
in the top of the envelope is going to be
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60.5, right?
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If we draw the lines around that range of values
02:34 - 02:36
to give us that image of kind of a little
02:37 - 02:41
envelope, we can clearly see that the points um, we
02:41 - 02:44
can clearly see the point there within that range of
02:44 - 02:46
49.5 and 60.5.
02:47 - 02:50
So in this data set, we can identify four out
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of the five points, or 80% of the total points
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for within the stability envelope.
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Who's this?
02:58 - 02:59
Needs 80% criteria.
03:00 - 03:02
This data is considered stable.
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